pycuda 0.93

Python wrapper for Nvidia CUDA

PyCUDA lets you access Nvidia's CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about PyCUDA?

• Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won't detach from a context before all memory allocated in it is also freed.
• Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime.
• Completeness. PyCUDA puts the full power of CUDA's driver API at your disposal, if you wish. It also includes code for interoperability with OpenGL.
• Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions.
• Speed. PyCUDA's base layer is written in C++, so all the niceties above are virtually free.
• Helpful Documentation and a Wiki.

Relatedly, like-minded computing goodness for OpenCL is provided by PyCUDA's sister project PyOpenCL.

• Author: Andreas Kloeckner <inform at tiker net>
• Home Page: http://mathema.tician.de/software/pycuda
• License: MIT
• Categories
  • Development Status :: 5 - Production/Stable
  • Environment :: Console
  • Intended Audience :: Developers
  • Intended Audience :: Other Audience
  • Intended Audience :: Science/Research
  • License :: OSI Approved :: MIT License
  • Natural Language :: English
  • Programming Language :: C++
  • Programming Language :: Python
  • Topic :: Scientific/Engineering
  • Topic :: Scientific/Engineering :: Mathematics
  • Topic :: Scientific/Engineering :: Physics
  • Topic :: Scientific/Engineering :: Visualization
• Package Index Owner: inducer77
• DOAP record: pycuda-0.93.xml